The Daimler-Benz Winter Test Center “Rovaniemi” — A Prerequisite for Experimental Development of Electronic Wheel Slip Control Systems for Commercial Vehicles

1989 ◽  
Author(s):  
E. Göhring
Keyword(s):  
Control Systems ◽  
Commercial Vehicles ◽  
Wheel Slip ◽  
Experimental Development ◽  
Slip Control

Wheel slip control systems utilizing the estimated tire force

2006 ◽  
Author(s):  
Daegun Hong ◽  
Paljoo Yoon ◽  
Hyoung-Jin Kang ◽  
Inyong Hwang ◽  
Kunsoo Huh
Keyword(s):  
Control Systems ◽  
Wheel Slip ◽  
Slip Control ◽  
Tire Force

A Robust Wheel Slip Control Design with Radius Dynamics Observer for EV

2018 ◽  
Vol 2 (2) ◽  
pp. 135-146
Author(s):  
Kada Hartani ◽  
Mohamed Khalfaoui ◽  
Abdelkader Merah ◽  
Norediene Aouadj
Keyword(s):  
Control Design ◽  
Wheel Slip ◽  
Slip Control

Anti-Lock Wheel Slip Control With an Adaptive Searching Algorithm for the Optimal Slip

2015 ◽  
Author(s):  
Ning Pan ◽  
Liangyao Yu ◽  
Lei Zhang ◽  
Zhizhong Wang ◽  
Jian Song
Keyword(s):  
Lyapunov Theory ◽  
Modulation Amplitude ◽  
Wheel Slip ◽  
Slip Control ◽  
The Road ◽  
Road Friction ◽  
Speed Fluctuation ◽  
On The Road ◽  
Pressure Modulation ◽  
Abs Algorithm

An adaptive searching algorithm for the optimal slip during ABS wheel slip control is proposed. By taking advantage of the fluctuation of wheel slip control, the direction towards the optimal slip can be found, and the target slip calculated by the algorithm asymptotically converged to the optimal slip, which is proved using the Lyapunov theory. A gain-scheduling wheel slip controller is developed to control the wheel slip to the target slip. Simulations on the uniform road and on the road with changed friction are carried out to verify the effectiveness of the proposed algorithm. Simulation results show that the ABS algorithm using the proposed searching algorithm can make full use of the road friction and adapts to road friction changes. Comparing with the conventional rule-based ABS, the pressure modulation amplitude and wheel speed fluctuation is significantly reduced, improving control performance of ABS.

scholarly journals Wheel slip control with torque blending using linear and nonlinear model predictive control

2017 ◽  
Vol 55 (11) ◽  
pp. 1665-1685 ◽  
Author(s):  
M. Sofian Basrah ◽  
Efstathios Siampis ◽  
Efstathios Velenis ◽  
Dongpu Cao ◽  
Stefano Longo
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Nonlinear Model ◽  
Nonlinear Model Predictive Control ◽  
Wheel Slip ◽  
Slip Control ◽  
Linear And Nonlinear

scholarly journals Wheel slip control in ABS brakes using gain scheduled constrained LQR

2001 ◽  
Author(s):  
Idar Petersen ◽  
Tor A. Johansen ◽  
Jens Kalkkuhl ◽  
Jens Ludemann
Keyword(s):  
Wheel Slip ◽  
Slip Control ◽  
Gain Scheduled
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